Server Information
Name: Screenpipe MCP Server
Repository: https://github.com/mediar-ai/screenpipe
Description: Provides AI with context from 24/7 screen recordings and audio transcriptions
What it does
Screenpipe MCP server enables AI assistants to:
- Search screen history - Find text from anything you've seen on screen via OCR
- Search audio transcriptions - Query meetings, calls, and spoken content
- Get recent context - Retrieve what's been on screen recently
- Semantic search - Natural language queries over your digital activity
Why it's useful
This fills a unique gap in the MCP ecosystem - giving AI assistants awareness of the user's visual and audio context. Use cases:
- "What was that error message I saw?"
- "Summarize my last meeting"
- "Find the documentation I was reading about X"
- "What was discussed about feature Y?"
Technical Details
- Language: TypeScript/Rust
- Platform: macOS, Windows, Linux
- Privacy: 100% local, no cloud required
- Stars: 16,500+ on GitHub
- License: MIT
MCP Features
search_screen - Full-text + semantic search over OCR content
search_audio - Search audio transcriptions
get_recent_context - Get recent screen/audio activity
get_frame - Retrieve specific screenshot
Installation
npm install @screenpipe/mcp
Or via the Screenpipe desktop app which includes the MCP server.
Links
Server Information
Name: Screenpipe MCP Server
Repository: https://github.com/mediar-ai/screenpipe
Description: Provides AI with context from 24/7 screen recordings and audio transcriptions
What it does
Screenpipe MCP server enables AI assistants to:
Why it's useful
This fills a unique gap in the MCP ecosystem - giving AI assistants awareness of the user's visual and audio context. Use cases:
Technical Details
MCP Features
search_screen- Full-text + semantic search over OCR contentsearch_audio- Search audio transcriptionsget_recent_context- Get recent screen/audio activityget_frame- Retrieve specific screenshotInstallation
Or via the Screenpipe desktop app which includes the MCP server.
Links